What if you could get the total of any part of a list instantly without adding every time?
Why Prefix Sum Array in DSA Java?
Imagine you have a long list of daily sales numbers, and you want to quickly find the total sales between any two days. Doing this by adding each day's sales every time you ask is like counting coins one by one every time you want to know your total money.
Manually adding numbers each time is slow and tiring. If the list is long, it takes a lot of time and you might make mistakes while adding. It's like repeatedly counting the same coins again and again.
A prefix sum array keeps a running total of the sales up to each day. This way, you can find the total sales between any two days by just subtracting two numbers, making it very fast and easy.
int sum = 0; for (int i = start; i <= end; i++) { sum += sales[i]; }
int total = prefixSum[end + 1] - prefixSum[start];This lets you answer sum queries instantly, even on huge lists, saving time and effort.
Online stores use prefix sums to quickly calculate total sales in any date range, helping them track performance without delay.
Manually summing ranges is slow and error-prone.
Prefix sum arrays store running totals to speed up queries.
They make repeated sum calculations fast and simple.
Practice
arr?Solution
Step 1: Understand prefix sum definition
A prefix sum array stores sums of elements from the start of the array up to each index.Step 2: Compare options with definition
Only An array where each element is the sum of all elements up to that index inarrmatches this definition exactly.Final Answer:
An array where each element is the sum of all elements up to that index in arr -> Option AQuick Check:
Prefix sum = cumulative sum [OK]
- Confusing prefix sum with product or max operations
- Thinking prefix sum stores differences
- Mixing prefix sum with suffix sum
prefix for an integer array arr?Solution
Step 1: Check initialization of prefix array
Prefix sum array must start with prefix[0] = arr[0] to include first element sum.Step 2: Verify loop calculation
Loop from i=1 to end adds previous prefix sum plus current arr element, which is correct.Final Answer:
int[] prefix = new int[arr.length]; prefix[0] = arr[0]; for(int i=1; i -> Option CQuick Check:
Initialize first element, then add previous sums [OK]
- Starting prefix[0] with 0 instead of arr[0]
- Multiplying instead of adding elements
- Reversing array elements instead of summing
int[] arr = {2, 4, 6, 8};
int[] prefix = new int[arr.length];
prefix[0] = arr[0];
for(int i = 1; i < arr.length; i++) {
prefix[i] = prefix[i-1] + arr[i];
}
System.out.println(java.util.Arrays.toString(prefix));Solution
Step 1: Calculate prefix sums step-by-step
prefix[0] = 2; prefix[1] = 2 + 4 = 6; prefix[2] = 6 + 6 = 12; prefix[3] = 12 + 8 = 20;Step 2: Verify final prefix array
The prefix array is [2, 6, 12, 20].Final Answer:
[2, 6, 12, 20] -> Option AQuick Check:
Sum accumulates: 2, 6, 12, 20 [OK]
- Printing original array instead of prefix sum
- Starting prefix sum with 0 incorrectly
- Adding wrong elements in loop
int[] arr = {1, 3, 5};
int[] prefix = new int[arr.length];
prefix[0] = 0;
for(int i = 1; i <= arr.length; i++) {
prefix[i] = prefix[i-1] + arr[i];
}Solution
Step 1: Check loop boundary
The loop uses i <= arr.length, which causes index out of bounds because valid indices are 0 to arr.length-1.Step 2: Check prefix[0] initialization and array access
prefix[0] should be arr[0] to start sums correctly; also arr[i] access fails at i = arr.length.Step 3: Combine all errors
All issues cause runtime errors or incorrect prefix sums.Final Answer:
All of the above -> Option DQuick Check:
Loop bounds, initialization, and indexing errors combined [OK]
- Using <= instead of < in loop condition
- Initializing prefix[0] incorrectly
- Accessing array out of bounds
arr of length 5: {3, 1, 4, 1, 5}, you want to find the sum of elements from index 1 to 3 (inclusive) efficiently using a prefix sum array. Which expression correctly calculates this sum using the prefix sum array prefix where prefix[i] is the sum of elements from index 0 to i?Solution
Step 1: Understand prefix sum usage for range sums
Sum from index l to r = prefix[r] - prefix[l-1]. Here l=1, r=3.Step 2: Apply formula with given indices
Sum = prefix[3] - prefix[0]. prefix[0] is sum up to index 0, so subtracting it leaves sum from 1 to 3.Final Answer:
prefix[3] - prefix[0] -> Option BQuick Check:
Range sum = prefix[r] - prefix[l-1] [OK]
- Subtracting prefix at wrong index
- Adding extra elements unnecessarily
- Confusing inclusive indices
Ready to prove it?
Pass the test and this pattern moves unknown
